adesantos
  • Member for 7 years, 7 months
  • Last seen more than 7 years ago
K-Means clustering for mixed numeric and categorical data
33 votes

In my opinion, there are solutions to deal with categorical data in clustering. R comes with a specific distance for categorical data. This distance is called Gower and it works pretty well.

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Can machine learning algorithms predict sports scores or plays?
5 votes

I have read some about it and I had this blog in mind. This blog deals with the prediction of a NFL match after the half time is already over. The prediction is 80% accurate with simple GLM model. I ...

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How to compare experiments run over different infrastructures
3 votes

This is a very good question and a common situation. In my opinion there are three different factors that must be controlled: Data: There exist already different benchmarks in order to evaluate ...

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Learning signal encoding
3 votes

I suggest the use of Hidden Markov Models, with two possible states: (1) high levels and (0) low levels. This technique might be helpful to decode your signal. Probably you would need a specific HMM ...

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Detecting cats visually by means of anomaly detection
3 votes

The strategy of motion/change detection is certainly adequate, but I would add an extra operation. I would detect those regions that are more likely to be changed, for instance, the ladder seems a ...

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How to select algorithms for ensemble methods?
3 votes

As a rule of thumb I always propose three different options: Use a bagging learning technique, similar to that one followed by Random Forest. This technique allows the training of 'small' classifiers ...

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Measuring performance of different classifiers with different sample sizes
2 votes

In my opinion, it is difficult to compare the performance when there is such a big difference of size. On this link, (please check it out here in Wikipedia), you may see different strategies. The one ...

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How to use neural networks with large and variable number of inputs?
2 votes

There exist many possibilities for populating empty gaps on data. Most repeated value: Fill the gaps with the most common value. Create a distribution: Make the histogram and drop values according to ...

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Machine learning techniques for estimating users' age based on Facebook sites they like
2 votes

This is a very interesting problem. I faced a similar one by analyzing the pictures users upload to the social network. I did the following approach: Rather than associating data to ages (15 y.o., ...

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Network analysis classic datasets
1 votes

The only thing I know about is benchmark data for Graph Databases, such as Neo4j. You may find links similar to this one: http://istc-bigdata.org/index.php/benchmarking-graph-databases/ where you ...

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Algorithm for generating classification rules
1 votes

You should try arules package in R. It allows you to create not only the association rules but also to specify the length of each rule, the importance of each rule and also you can filter them, which ...

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